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Related Questions
- What are some common techniques used to reduce model capacity while maintaining performance?
- How can model pruning and knowledge distillation be used to balance capacity and efficiency?
- What role does model regularization play in finding an optimal balance between capacity and computational efficiency?
- Can you explain the concept of model compression and its applications in balancing capacity and efficiency?
- How do model architecture search and hyperparameter tuning contribute to finding an optimal balance between capacity and efficiency?
- What are some strategies for optimizing model size and computational resources during training and inference?
- Can you discuss the trade-offs between model capacity, computational efficiency, and interpretability?
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